@inproceedings{blume2009Fully3dMotionCompensation,
  author      = {Blume, Moritz AND Martinez-M{\"o}ller, Axel AND Keil, Andreas AND Navab, Nassir	AND Rafecas, Magdalena},
  title       = {Joint Reconstruction of Image and Motion in Gated Positron-Emission-Tomography},
  booktitle   = {Proc. Int'l Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D)},
	series      = {},
	editor      = {},
	publisher   = {},
	volume      = {},
  year        = {2009},
	month       = sep,
	isbn        = {},
	pages       = {},
	language    = {american},
	doi         = {},
	url         = {},
  abstract    = {We present a novel method for joint reconstruction of both image and motion in
                 positron-emission-tomography (PET). Most other methods separate image from motion
                 estimation: They use deformable image registration/optical flow techniques in order
                 to estimate the motion from individually reconstructed gates. Then, the image is
                 estimated based on this motion information. With	these methods, a main problem lies
                 in the motion estimation step, which is based on the noisy gated frames. The more
                 noise is present, the more inaccurate the image registration becomes.
                 
                 As we show in a simulation study, our joint reconstruction approach overcomes these
                 drawbacks and results in both visually and quantitatively better image quality. We
                 attribute these results to the fact that for motion estimation always the currently
                 best available image estimate is used and vice versa. Additionally, results for
                 real dual respiratory and cardiac gated patient data are presented.},
}
